📰 ACM Transactions on Information Systems 2024 — papers

The works of ACM Transactions on Information Systems published in 2024 that our library holds: 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsLei Huang, Weijiang Yu, Weitao Ma et al.2,379 citations · our summary
2. How Can Recommender Systems Benefit from Large Language Models: A Survey ↗Jianghao Lin, Xinyi Dai, Yunjia Xi et al.233 citations
3. Causal Inference in Recommender Systems: A Survey and Future Directions ↗Chen Gao, Yu Zheng, Wenjie Wang et al.147 citations
4. Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach ↗Junjie Zhang, Ruobing Xie, Yupeng Hou et al.135 citations
5. CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models ↗Yuanjie Lyu, Zhiyu Li, Simin Niu et al.104 citations
6. Federated Recommender System Based on Diffusion Augmentation and Guided Denoising ↗Yicheng Di, Hongjian Shi, Xiaoming Wang et al.101 citations
7. A Survey on Recommender Systems Using Graph Neural Network ↗Vineeta Anand, Ashish Kumar Maurya78 citations
8. Unsupervised Social Bot Detection via Structural Information Theory ↗Hao Peng, Jingyun Zhang, Xiang Huang et al.74 citations
9. Contrastive Clustering Learning for Multi-Behavior Recommendation ↗Wei Lan, Guoxian Zhou, Qingfeng Chen et al.64 citations
10. User Behavior Simulation with Large Language Model-based Agents ↗Lei Wang, Jingsen Zhang, Hao Yang et al.57 citations

All works of the year (131)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsLei Huang, Weijiang Yu, Weitao Ma et al.2,379 citations · our summary
2. How Can Recommender Systems Benefit from Large Language Models: A Survey ↗Jianghao Lin, Xinyi Dai, Yunjia Xi et al.233 citations
3. Causal Inference in Recommender Systems: A Survey and Future Directions ↗Chen Gao, Yu Zheng, Wenjie Wang et al.147 citations
4. Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach ↗Junjie Zhang, Ruobing Xie, Yupeng Hou et al.135 citations
5. CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models ↗Yuanjie Lyu, Zhiyu Li, Simin Niu et al.104 citations
6. Federated Recommender System Based on Diffusion Augmentation and Guided Denoising ↗Yicheng Di, Hongjian Shi, Xiaoming Wang et al.101 citations
7. A Survey on Recommender Systems Using Graph Neural Network ↗Vineeta Anand, Ashish Kumar Maurya78 citations
8. Unsupervised Social Bot Detection via Structural Information Theory ↗Hao Peng, Jingyun Zhang, Xiang Huang et al.74 citations
9. Contrastive Clustering Learning for Multi-Behavior Recommendation ↗Wei Lan, Guoxian Zhou, Qingfeng Chen et al.64 citations
10. User Behavior Simulation with Large Language Model-based Agents ↗Lei Wang, Jingsen Zhang, Hao Yang et al.57 citations
11. MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation ↗Yunshan Ma, Yingzhi He, Xiang Wang et al.42 citations
12. Privacy-preserving Cross-domain Recommendation with Federated Graph Learning ↗Changxin Tian, Yuexiang Xie, Xu Chen et al.41 citations
13. Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs ↗Xi Zhu, Fake Lin, Ziwei Zhao et al.36 citations
14. Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines ↗John Patrick Lalor, Ahmed Abbasi, Kezia Oketch et al.33 citations
15. A Unified Framework for Multi-Domain CTR Prediction via Large Language Models ↗Zichuan Fu, Xiangyang Li, Chuhan Wu et al.31 citations
16. Collaborative Sequential Recommendations via Multi-view GNN-transformers ↗Tianze Luo, Yong Liu, Sinno Jialin Pan31 citations
17. Counterfactual Explanation for Fairness in Recommendation ↗Xiangmeng Wang, Qian Li, Dianer Yu et al.31 citations
18. Average User-Side Counterfactual Fairness for Collaborative Filtering ↗Pengyang Shao, Le Wu, Kun Zhang et al.30 citations
19. When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs ↗Marialena Bevilacqua, Kezia Oketch, Ruiyang Qin et al.30 citations
20. RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation ↗Sichun Luo, Bowei He, Haohan Zhao et al.27 citations
21. Post-Training Attribute Unlearning in Recommender Systems ↗Chaochao Chen, Yizhao Zhang, Yuyuan Li et al.26 citations
22. A Noise-Oriented and Redundancy-Aware Instance Selection Framework ↗Washington Luiz Miranda da Cunha, Alejandro Moreo, Andrea Esuli et al.23 citations
23. FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services ↗Wei Yuan, Chaoqun Yang, Guanhua Ye et al.23 citations
24. RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation ↗Weibin Liao, Yifan Zhu, Yanyan Li et al.23 citations
25. MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation ↗Jingmin An, Ming Yu Gao, Jiafu Tang22 citations

See all 131 papers in ACM Transactions on Information Systems 2024 — papers →

📄 Works with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. Graph Retrieval-Augmented Generation: A SurveyACM Transactions on Information SystemsBoci Peng, Yun Zhu, Yongchao Liu, et al.2024 · 276 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

🔍Information retrieval & search (1)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓Rutgers, The State University of New JerseyNew Brunswick · United States1 work here🎓Peking UniversityBeijing · China1 work here🏢Ant GroupHangzhou · China1 work here🎓Zhejiang UniversityHangzhou · China1 work here🎓Renmin University of ChinaBeijing · China1 work here

works and citations from OpenAlex and our library.

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